What is a working configuration of a neuronal network (number of layers, lerning rate and so on) for a specific dataset?
I ran a lot of randomly created networks to solve this problem, but none of the structures where able to reliably "solve" this problem.

Of course, some of them where able to solve it one time, some of them even twice but there where only one which solved it 3 times:


LearningRate: 0,510141694690167
Momentum: 0,962972165068133; 
Layer/Neuron-Count: 2 (14, 9)
SigmundAlphaValue: 2;